Senior Data Scientist/MLOps at Plain Concepts

, , Spain -

Full Time

Start Date

Immediate

Expiry Date

07 Jun, 26

Salary

0.0

Posted On

09 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, MLOps, Computer Vision, NLP, Generative AI, Deep Learning, Tensorflow, PyTorch, Docker, CI/CD, Azure, RESTful Web Services, Object-Oriented Programming, Unit Testing, Data Analysis

Industry

IT Services and IT Consulting

Description

🚀 We’re Growing Our AI Dream Team! Titles? Meh, we’re not big on them, but let’s call this one Data Scientist. 😉 As part of our international AI/ML squad, you’ll craft tailor-made solutions that wow our clients. We’re hunting for a passionate AI Engineer with a solid technical background. Your mission? Train, deploy, and put groundbreaking developments into action — and that’s just the beginning. Here’s the deal: You’ll tackle the unique challenges of AI-powered software alongside a team of brilliant minds. You’ll dive into cutting-edge projects using the latest tech to push boundaries and make an impact. Whether you prefer working from home or vibing with us at our offices, the choice is yours. AGILE isn’t just a buzzword here — it’s how we roll. Multidisciplinary teams? Check. Full ownership of projects? Double check. Ready to take on projects that matter, with a team that’s as passionate as you are? Let’s make it happen! 😊 You will be responsible for: Participating in the design and development of AI solutions for challenging projects. Building production level ML/AI solutions, with solid software engineering and ML/AI principles. MLOps Automated deployment and monitoring (models and infrastructure). Data analysis (data cleaning, variable transformation, etc.). Developing and training ML models. Putting AI models into production. This means parallelizing, optimizing, tuning, testing the models to deploy in a production environment. More than 5 years of experience in AI / Machine Learning / Computer Science. Can build an “end-to-end software product” which has machine learning component. Knowledges in applied computer vision. Strong skills in Python and reasonable SQL understanding. Experience in building ML/deep learning pipelines and models. Experience in implementing production ready ML models using current ML/Deep learning techniques. MLOps experience is mandatory for the team Experience in projects with NLP/Gen IA is neccesary Very valuable your international and presales experience ENGLISH IS MANDATORY Very nice to have: Experience with Deep learning frameworks like Tensorflow, PyTorch etc. Experience with Big Data projects and tools. Experience writing RESTful web services. Experience with DevOps technology (Docker, Continuous Integration and Continuous Deployment, etc.) Experience with source code version control tools. Experience working with Azure or other cloud-based solution. Azure Machine Learning: Experience with Azure Machine Learning is a plus, although not essential. Deep learning and neural networks. Expertise in deep learning and high-level neural networks. Experience with one or more of the following: Natural Language Processing, Computer Vision, recommendation systems, unsupervised learning, ranking systems or similar. TensorFlow Lite, TensorFlow serving y grpc. Unit testing knowledge. Solid object-oriented programming skills. Salary determined by the market and your experience 🤑 Flexible schedule 35 Hours / Week 😎 Fully remote work (optional) 🌍 Flexible compensation (restaurant, transport, and childcare) ✌ Medical and dental insurance (completely free of charge for the employee) 🚑 Individual budget for training or equipment and free Microsoft certifications 📚 English lessons 🗽 Birthday day off 🌴🥳 Monthly bonus for electricity and Internet expenses at home 💻 Discount on gym plan and sports activities 🔝 Plain Camp (annual team-building event) 🎪 Extra perks: events attendance and speakers, welcome pack, baby basket, Christmas basket, discount portal for employees ➕ The pleasure of always working with the latest technological tools! Will you let us know you better? The selection process: Simple, just 3 steps. Phone screen 2 interviews with the team 🤘 What is Plain Concepts? Plain Concepts is a global company of over 500 people passionate about technology and innovation. Since our founding, we have grown through technical proficiency and confidence in ideas that others might consider risky, creating custom solutions for our clients. With offices in more than 6 countries, our mission is to continue to drive cutting-edge projects around the world. We are highly committed to technical excellence. We are known for developing highly customized projects, offering specialized technical consultancy and training. Thanks to the great work of our technicians, we have been recognized for our ability to lead innovative projects that generate value, from artificial intelligence to blockchain, driving solutions that help companies optimize their performance. What we do at Plain Concepts? We pride ourselves on being a 100% technical team, dedicated to crafting custom projects from scratch, offering expert technical consultancy, and providing top-tier training. Our approach goes beyond traditional outsourcing; we focus on creating value together with our clients. Our teams are diverse and multidisciplinary, operating in a flat, collaborative structure. We live and breathe AGILE principles, ensuring flexibility and efficiency in everything we do. Knowledge-sharing is at our core: from supporting each other internally to contributing to the broader tech community through conferences, events, and talks. Innovation drives us — even the boldest ideas are welcome here. Transparency underpins all our relationships, fostering trust and long-term partnerships. Want to learn more? Check out our website! ➡ plainconcepts.com At Plain Concepts, we certainly seek to provide equal opportunities. We want diverse applicants regardless of race, colour, gender, religion, national origin, citizenship, disability, age, sexual orientation, or any other characteristic protected by law.

Responsibilities

The role involves participating in the design and development of AI solutions for challenging projects, focusing on building production-level ML/AI solutions adhering to solid software engineering principles. Key tasks include MLOps for automated deployment and monitoring, data analysis, model training, and optimizing models for production environments.